Actions taken to deal with mental health problems in Australian higher education students

2011 ◽  
Vol 6 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Nicola J. Reavley ◽  
Terence V. McCann ◽  
Anthony F. Jorm
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
Mental Health Problems ◽  
Health Problems ◽  
Education Students

Student mental health and the general practitioner

1975 ◽  
Vol 13 (25) ◽  
pp. 99-100
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
General Practitioner ◽  
Health Service ◽  
Health Services ◽  
Mental Health Problems ◽  
Health Problems ◽  
Student Health ◽  
Student Health Services ◽  
The University

Although most universities run a health service, students with important mental health problems are often seen by their general practitioner. There are a number of reasons for this; first, health services in the colleges of higher education outside universities are still patchy and incomplete. Second, students are on vacation for up to 24 weeks a year. Third, a student may choose to consult anyone, and may prefer someone unconnected with the university. Last, many students live at home and continue to see their general practitioner. This underlines the need for close liason between the general practitioner and student health services.

scholarly journals Financial stress and mental health among higher education students in the UK up to 2018: rapid review of evidence

2019 ◽  
Vol 73 (10) ◽  
pp. 977-984 ◽  
Author(s):  
Tayla McCloud ◽  
David Bann
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
Health Outcomes ◽  
Mental Health Problems ◽  
Financial Stress ◽  
Mental Health Outcomes ◽  
Rapid Review ◽  
Education Students ◽  
Cross Sectional ◽  
The Uk

IntroductionIn the United Kingdom and many other countries, debt accrued during higher education has increased substantially in recent decades. The prevalence of common mental health problems has also increased alongside these changes. However, it is as yet unclear whether there is an association between financial stress and mental health among higher education students.MethodsWe conducted a rapid review of the peer-reviewed scientific literature. Eligible studies were English-language publications testing the association between any indicator of financial stress and mental health among higher education students in the UK. Papers were located through a systematic search of PsychINFO, PubMed and Embase up to November 2018.ResultsThe search strategy yielded 1272 studies—9 met the inclusion criteria. A further two were identified through hand-searching. The median sample size was 408. Only three of seven studies found an association between higher debt and worse mental health. There was a consistent cross-sectional relationship between worse mental health and both experience of financial difficulties (seven of seven studies) and debt worry/financial concern (four of five studies), though longitudinal evidence was mixed and limited to six studies.ConclusionAmong higher education students in the UK, there is little evidence that the amount of debt is associated with mental health. However, more subjective measures of increased financial stress were more consistently associated with worse mental health outcomes. Nevertheless, the identified evidence was judged to be weak; further research is required to examine whether links between financial stress and mental health outcomes are robust and causal in nature.

Students, mental health and citizenship

Legal Studies ◽  
2004 ◽  
Vol 24 (3) ◽  
pp. 349-385 ◽  
Author(s):  
Neville Harris
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
Public Policy ◽  
Mental Health Problems ◽  
Health Problems ◽  
Student Population ◽  
Government Policies ◽  
Legal Relationship ◽  
Legal Position ◽  
The Relationship

This paper examines the developing and complex legal relationship between universities and students, or would-be students, who have mental health problems. Discussion takes account of the wider social and policy contexts, including the extent of mental ill-health among the student population, the market for higher education, and government policies towards universities. It contends that the legal position of students with mental health problems demonstrates that there is a need for the relationship between students and universities to be conceptualised with reference to the citizenship ideal rather than the consumer paradigm with which it has tended to become associated in public policy terms.

Concepts and Methods in Student Mental Health

1974 ◽  
Vol 125 (589) ◽  
pp. 595-603 ◽  
Author(s):  
C. J. Lucas ◽  
Sidney Crown
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
Mental Health Problems ◽  
Health Problems ◽  
Potential Contribution ◽  
Clinical Services ◽  
College Community ◽  
Comprehensive Health ◽  
Specialized Mental Health ◽  
Special Provision

Considering their potential contribution to the community, the growth of clinical services in relation to the specialized mental health problems of students in higher education has been haphazard. Although most universities have developed or are on the way to developing comprehensive health services on the lines recommended in the report of the Royal College of Physicians (1966), services in the non-university sector are often less than adequate. This report accepted as established that about 5 per cent of students have psychological disorders which cause serious distress, and a further 10 to 20 per cent have less severe though handicapping disorders. It was accepted that special provision would need to be made for these mental health problems, as part of the range of preventive and treatment activities relevant to a College community.

scholarly journals Economic analyses of interventions for student mental health and wellbeing: protocol for a systematic review

2021 ◽  
Author(s):  
Eleanor Bell ◽  
Jia Pan ◽  
Christopher James Sampson ◽  
Priscila Radu
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
Economic Evaluation ◽  
Mental Health Problems ◽  
Adult Population ◽  
Treatment Options ◽  
Health Problems ◽  
Economic Evaluations ◽  
Student Mental Health ◽  
Relevant Evidence

Background: Students in higher education often face mental health problems with inadequate treatment options. With COVID-19 only exacerbating the already high levels of mental health problems in the younger adult population, it is imperative policy makers have the relevant evidence to inform resource allocation and investment into student mental health services. Aim: We aim to identify and summarise economic evaluations of interventions that both prevent and treat student mental health within the UK. Method: We will conduct a review of all published economic evaluation literature relating to both students in higher education and interventions designed to prevent or treat student mental health. We will conduct a search in the following databases: PubMed, MEDLINE, Embase, Web of Science, EconLit, PsycINFO and the National Health Service Economic Evaluation Databases (NHS EED). The review will be conducted in accordance with the PRISMA statement guidelines 2019. A database of the literature compiled as part of this systematic literature review will be made available for transparency.

scholarly journals Mental Health Prediction Models Using Machine Learning in Higher Education Institution

2021 ◽  
Vol 12 (5) ◽  
pp. 1782-1792
Author(s):  
Sofianita Mutalib, Et. al.
Keyword(s):  
Neural Network ◽  
Mental Health ◽  
Higher Education ◽  
Machine Learning ◽  
Support Vector Machine ◽  
Decision Tree ◽  
Mental Health Problems ◽  
Support Vector ◽  
Depression And Anxiety ◽  
Education Students

Today, mental health problem has become a grave concern in Malaysia. According to the National Health and Morbidity Survey (NHMS) 2017, one in five people in Malaysia suffers from depression, two in five from anxiety, and one in ten from stress. Higher education students are also at risk of being part of the affected community. The increased data size without proper management and analysis, and the lack of counsellors, are compounding the issue. Therefore, this paper presents on identifying factors in mental health problems among selected higher education students. This study aims to classify students into different categories of mental health problems, which are stress, depression, and anxiety, using machine learning algorithms. The data is collected from students in a higher education institute in Kuala Terengganu. The algorithms applied are Decision Tree, Neural Network, Support Vector Machine, Naïve Bayes, and logistic regression. The most accurate model for stress, depression, and anxiety is Decision Tree, Support Vector Machine, and Neural Network, respectively.

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